Illumination Compensation for Color Images Using an Enhanced Reference Algorithm
Implementation of an enhanced reference-based algorithm for color image illumination correction through lighting distribution analysis and reference image adaptation
MATLAB Image Preprocessing Source Code for Illumination Compensation, Rotation, and Scale Normalization
This is my original MATLAB source code for image preprocessing, featuring illumination compensation, rotation, and scale normalization. The implementation includes optimized algorithms for practical applications, with detailed explanations of key functions and processing techniques.
Image Illumination Compensation Implementation
This code provides effective illumination compensation for images with strong practical applicability and robust performance!
Implementation of Facial Expression Recognition
This implementation utilizes an image database where the detection phase begins with grayscale conversion, followed by lighting compensation and noise reduction. Edge detection is then performed, and images are normalized to ensure consistency. For feature extraction, PCA (Principal Component Analysis) is employed to extract facial features and project them into vector space. Finally, the system calculates the nearest distance between test images and reference models to determine the most matching expression category.
MATLAB Implementation of Illumination Compensation
A powerful and effective MATLAB program for illumination compensation with additional image processing capabilities
MATLAB Implementation of Single Scale Retinex (SSR) Image Enhancement Algorithm
MATLAB code implementation of Single Scale Retinex (SSR) for image enhancement with detailed algorithm explanation and computational workflow
Adaptive Threshold Algorithm for Separating Foreground from Background with Implementation Insights
An intelligent image binarization technique that dynamically computes local thresholds to overcome limitations of global thresholding under uneven lighting conditions, with code implementation considerations.